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information at: http://www.ifw-dresden.de The Institute of Solid State Research at the IFW Dresden offers a PhD Position (m/f/d) “Self-Assembled Rolled-Up Microcoils for Solid-State Nuclear Magnetic Resonance
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neutron facilities. Experience with programming languages such as Python is advantageous. Practical laboratory skills and an enthusiasm for experimental work are highly valued. Participation in teaching
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the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association www.leibniz-gemeinschaft.de . You can find more details on the institute webpage: www.ikz-berlin.de . The Section Fundamental
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of computer science, biology, physics, mathematics or a related field Programming skills in Python required (Numpy, Pandas, Scikit-learn, Pytorch) Hands-on experience in Deep Learning Demonstrated interest in working
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. The role requires both independent work and effective collaboration, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python
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, Data Science, AI, Math, Physics, Geoinformatics, or a related quantitative field; applicants from environmental sciences are welcome with strong programming skills (preferably in Python). Experience with
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. The following qualifications and skills are desirable: Experience in Python programming Experience with analog and digital electronics You may expect a multifaceted and interesting position within
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Requirements: Applicants should hold an MSc or Diploma in Engineering, Computer Science or a related discipline. Background in Machine Learning and Artificial Intelligence. Strong programming skills (Python
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corresponding projects Your Profile: Master’s degree in computer science, bio/-cheminformatics or natural sciences Strong programming skills (Python, R, Java, …) and interest to work in polyglot software
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with emerging memory devices Experience with simulation tools (LTspice, Cadence, MATLAB, Python) Interest in brain-inspired computation, energy-efficient hardware, and experimental validation Ability